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Polarizer-Free Dye-Doped Liquid Crystal Sensors with High Precision

https://doi.org/10.1021/acssensors.4c02913

Maiti, Soumita; Taghavi, Milad; Chaudhari, Parag; Roh, Sangchul; Cohen, Itai; Apsel, Alyssa B; Abbott, Nicholas L (March 2025, ACS Sensors)

Free, publicly-accessible full text available March 28, 2026
Electronically configurable microscopic metasheet robots

https://doi.org/10.1038/s41563-024-02007-7

Liu, Qingkun; Wang, Wei; Sinhmar, Himani; Griniasty, Itay; Kim, Jason Z; Pelster, Jacob T; Chaudhari, Paragkumar; Reynolds, Michael F; Cao, Michael C; Muller, David A; et al (September 2024, Nature Materials)

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EVE: Ephemeral Vector Engines

https://doi.org/10.1109/HPCA56546.2023.10071074

Al-Hawaj, Khalid; Ta, Tuan; Cebry, Nick; Agwa, Shady; Afuye, Olalekan; Hall, Eric; Golden, Courtney; Apsel, Alyssa B.; Batten, Christopher (February 2023, 29th IEEE Int'l Symp. on High-Performance Computer Architecture (HPCA))

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Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit

https://doi.org/10.1109/ACCESS.2021.3117255

Gonultas, Emre; Soni, Sweta; Apsel, Alyssa B.; Studer, Christoph (January 2021, IEEE Access)
Identifying Unused RF Channels Using Least Matching Pursuit

https://doi.org/10.1109/SPAWC48557.2020.9154255

Gonultas, Emre; Taghavi, Milad; Soni, Sweta; Apsel, Alyssa B.; Studer, Christoph (May 2020, IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC))

Cognitive radio aims at identifying unused radio-frequency (RF) bands with the goal of re-using them opportunistically for other services. While compressive sensing (CS) has been used to identify strong signals (or interferers) in the RF spectrum from sub-Nyquist measurements, identifying unused frequencies from CS measurements appears to be uncharted territory. In this paper, we propose a novel method for identifying unused RF bands using an algorithm we call least matching pursuit (LMP). We present a sufficient condition for which LMP is guaranteed to identify unused frequency bands and develop an improved algorithm that is inspired by our theoretical result. We perform simulations for a CS-based RF whitespace detection task in order to demonstrate that LMP is able to outperform black-box approaches that build on deep neural networks.
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Spin–orbit torque field-effect transistor (SOTFET): Proposal for a magnetoelectric memory

https://doi.org/10.1063/5.0002909

Li, Xiang; Casamento, Joseph; Dang, Phillip; Zhang, Zexuan; Afuye, Olalekan; Mei, Antonio B.; Apsel, Alyssa B.; Schlom, Darrell G.; Jena, Debdeep; Ralph, Daniel C.; et al (June 2020, Applied Physics Letters)

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